Data Driven Controller Design is popular PDF and ePub book, written by Alexandre Sanfelice Bazanella in 2011-11-16, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Data Driven Controller Design can be Read Online from any device for your convenience.

Data Driven Controller Design Book PDF Summary

Data-Based Controller Design presents a comprehensive analysis of data-based control design. It brings together the different data-based design methods that have been presented in the literature since the late 1990’s. To the best knowledge of the author, these data-based design methods have never been collected in a single text, analyzed in depth or compared to each other, and this severely limits their widespread application. In this book these methods will be presented under a common theoretical framework, which fits also a large family of adaptive control methods: the MRAC (Model Reference Adaptive Control) methods. This common theoretical framework has been developed and presented very recently. The book is primarily intended for PhD students and researchers - senior or junior - in control systems. It should serve as teaching material for data-based and adaptive control courses at the graduate level, as well as for reference material for PhD theses. It should also be useful for advanced engineers willing to apply data-based design. As a matter of fact, the concepts in this book are being used, under the author’s supervision, for developing new software products in a automation company. The book will present simulation examples along the text. Practical applications of the concepts and methodologies will be presented in a specific chapter.

Detail Book of Data Driven Controller Design PDF

Data Driven Controller Design
  • Author : Alexandre Sanfelice Bazanella
  • Release : 16 November 2011
  • Publisher : Springer Science & Business Media
  • ISBN : 9789400723009
  • Genre : Technology & Engineering
  • Total Page : 222 pages
  • Language : English
  • PDF File Size : 7,7 Mb

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